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Why there are two version of focal loss methods in _"class FocalLoss(nn.Module): URL: [https://github.com/kuangliu/pytorch-retinanet/blob/2199fd9711fd787ae409800a499db73e6d466fd7/loss.py](url)" ????
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Can anyone use this mothed in YOLOV4?
author says
"CDIoU and CDIoU loss have
different excellent performances in several models such as
Faster R-CNN, YOLOv4, RetinaNet and ATSS. There is a
maximu…
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我用模型训练的口罩数据集训练完之后检测不出来,而且置信度很低,只有0.00几, 但是同样的数据集我使用你的retinanet模型训练完之后就能检测出来, 不知道是哪里出了问题
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Hi community,
I am trying to optimize a retrained ShapeMask model for inference with `export_tensorrt_model.py` (a nice addition to tpu/detection toolkit!).
The transformed model returns e.g. `num…
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Hello,
I have been looking for information but I still am unclear about how to save and load the models obtained through the
[object detection guide ](https://keras.io/guides/keras_cv/object_det…
dwmar updated
2 months ago
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@yhenon
Hi, thanks for sharing such nice code!
I am confused about the annotation in https://github.com/yhenon/pytorch-retinanet/blob/1135e18b835481b18fd0d4e1613c87afc2bc7d46/model.py#L108. I think…
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MRE:
```
from tinygrad import Device
from extra.optimization.helpers import load_worlds, ast_str_to_lin
from tinygrad.features.search import bufs_from_lin
if __name__ == "__main__":
ast_strs =…
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what to do if my code has non-standard layer.
Any suggestion on how to modify the code?
Thanks a lot.
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I tried to train the model using Resnet-50 as backbone. Here are the results I get after 18 epochs.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.199
Average Precisi…
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Hey @mimoralea As the evaluation is being sequentially for each image, the process is too slow. Is there any other way for evaluation?